Two-Dimensional Vector Linear Network Coding

In this work, we introduce a new framework of linear network coding (LNC) schemes called two-dimensional (2D) vector LNC, which subsumes conventional (1D) vector LNC as a special case. The new framework models every data unit as an L_{1} \times L_{2} matrix, enabling a new encoding dimension so that...

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Vydáno v:Proceedings / IEEE International Symposium on Information Theory s. 1 - 6
Hlavní autoři: Ma, Lan, Sun, Qifu Tyler, Li, Zongpeng
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 22.06.2025
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ISSN:2157-8117
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Abstract In this work, we introduce a new framework of linear network coding (LNC) schemes called two-dimensional (2D) vector LNC, which subsumes conventional (1D) vector LNC as a special case. The new framework models every data unit as an L_{1} \times L_{2} matrix, enabling a new encoding dimension so that data units can be coded along both row and column dimensions. Compared with (1D) vector LNC of block length L_{1} L_{2}, L_{1} \times L_{2} 2D vector LNC not only reduces the size of local encoding kernels from L_{1} L_{2} \times L_{1} L_{2} to L_{1} \times L_{1} and L_{2} \times L_{2} , but also exhibits greater scalability in the selection of local encoding kernels. In addition, we prove an equivalence between the linear solvability of L_{1} \times L_{2} 2D vector LNC and (1D) vector LNC of block length L_{1} L_{2} . Under the framework of 2D vector LNC, we further formulate 2D circular-shift-based LNC. For distinct odd primes L_{1} and L_{2} , we prove that a network has a (1D) circular-shift-based linear solution of block length \left(L_{1}-1\right)\left(L_{2}-1\right) if and only if it has an \left(L_{1}-1\right) \times\left(L_{2}-1\right) 2D circular-shift-based linear solution. We also demonstrate through an explicit example that, compared with a (1D) circular-shift-based linear solution of block length 8, a 2 \times 4 2D circular-shift-based linear solution requires 23 % fewer XORs in the coding process at intermediate nodes and 13 % fewer XORs in the decoding process.
AbstractList In this work, we introduce a new framework of linear network coding (LNC) schemes called two-dimensional (2D) vector LNC, which subsumes conventional (1D) vector LNC as a special case. The new framework models every data unit as an L_{1} \times L_{2} matrix, enabling a new encoding dimension so that data units can be coded along both row and column dimensions. Compared with (1D) vector LNC of block length L_{1} L_{2}, L_{1} \times L_{2} 2D vector LNC not only reduces the size of local encoding kernels from L_{1} L_{2} \times L_{1} L_{2} to L_{1} \times L_{1} and L_{2} \times L_{2} , but also exhibits greater scalability in the selection of local encoding kernels. In addition, we prove an equivalence between the linear solvability of L_{1} \times L_{2} 2D vector LNC and (1D) vector LNC of block length L_{1} L_{2} . Under the framework of 2D vector LNC, we further formulate 2D circular-shift-based LNC. For distinct odd primes L_{1} and L_{2} , we prove that a network has a (1D) circular-shift-based linear solution of block length \left(L_{1}-1\right)\left(L_{2}-1\right) if and only if it has an \left(L_{1}-1\right) \times\left(L_{2}-1\right) 2D circular-shift-based linear solution. We also demonstrate through an explicit example that, compared with a (1D) circular-shift-based linear solution of block length 8, a 2 \times 4 2D circular-shift-based linear solution requires 23 % fewer XORs in the coding process at intermediate nodes and 13 % fewer XORs in the decoding process.
Author Ma, Lan
Sun, Qifu Tyler
Li, Zongpeng
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  organization: Institute for Network Sciences and Cyberspace, Tsinghua University,P. R. China
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Snippet In this work, we introduce a new framework of linear network coding (LNC) schemes called two-dimensional (2D) vector LNC, which subsumes conventional (1D)...
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SubjectTerms 2D vector linear code
circular-shift linear code
Data models
Decoding
Encoding
Kernel
Linear codes
linear solution
Network coding
Scalability
Two-dimensional displays
vector linear code
Vectors
Title Two-Dimensional Vector Linear Network Coding
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